Author:
Gahalod Nitin Surendra Singh,Rajeev Kumar,Pant Pawan Kumar,Binjola Sonam,Yadav Rameshwar Lal,Meena Rang Lal
Publisher
Springer Science and Business Media LLC
Reference91 articles.
1. Aggarwal, S., Thakur, P., & Dadhwal, V. (2009). Remote sensing and GIS applications in flood management. Journal of Hydrological Research and Development, Theme Flood Management., 24, 145–158.
2. Ali, S. A., Khatun, R., Ahmad, A., & Ahmad, S. N. (2019). Application of GIS based analytic hierarchy process and frequency ratio model to food vulnerable mapping and risk area estimation at Sundarban region. India. Modeling Earth Systems and Environment, 5(3), 1083–1102. https://doi.org/10.1007/s40808-019-00593-z
3. Ali, S. A., Parvin, F., Pham, Q. B., Vojtek, M., Vojteková, J., Costache, R., Linh, N. T. T., Nguyen, H. Q., Ahmad, A., & Ghorbani, M. A. (2020). GIS-based comparative assessment of flood susceptibility mapping using hybrid multi-criteria decision-making approach, naïve Bayes tree, bivariate statistics and logistic regression: A case of Topľa basin. Slovakia. Ecological Indicators, 117, 106620. https://doi.org/10.1016/j.ecolind.2020.106620
4. Andrew, T., Luca, V., Montserrat, M.F., Brian, D. (2018). European Commission, Joint Research Centre, Inform global risk index: Results 2018, Publications Office, 2018, https://data.europa.eu/doi/https://doi.org/10.2760/754353
5. Ayalew, L., & Yamagishi, H. (2005). The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan. Geomorphology, 65, 15–31. https://doi.org/10.1016/j.geomorph.2004.06.010